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Honeywell Collaborates With AI Specialist Bigfinite to Speed Medical Therapies

The collaboration will focus on helping biotech and pharma industries understand and make use of artificial intelligence and machine learning to enable faster development.

Honeywell Bigfinite Collaboration 300 Dpi
Honeywell

The life sciences industry is at a pivotal point in its history. It faces new challenges in getting treatments on the market while at the same time it has opportunities to use burgeoning technologies like artificial intelligence (AI) and machine learning to tackle challenges. But applying the technologies to solve the problems is not always easy. Honeywell and Bigfinite (rhymes with infinite) have joined forces to help their customers figure it out.

“One doesn’t have to look too far in the headlines to see something about a potential breach of data integrity or how long it’s taking new medicines to make it to the market,” says Cynthia Pussinen, vice president and general manager of Honeywell’s Life Sciences and Specialty Chemicals business. “We can help.”

The two companies will combine Honeywell’s expertise in process automation and controls technology with Bigfinite’s data analytics, AI and machine learning platform, designed specifically for the biotechnology and pharmaceutical industries.

“This industry could be incredibly faster and much more efficient. Now the technology’s ready and available to really change that,” says Pep Gubau, CEO and co-founder of Bigfinite, which was launched five years ago to enable the life sciences industry to do just that. “We are there to help them to adapt in a smooth way and be able to adapt to this super-fast change of this industry if they change now.”

The joint offering will use Bigfinite’s platform to power Honeywell’s products to enhance manufacturing process operations for life sciences companies. It will consolidate compliance-related manufacturing data contained in disparate systems across the enterprise into a single, visual interface for drug manufacturers. This will include data from laboratory information management, batch management, control, quality management, manufacturing execution, and inventory systems.

The goal is to solve a number of operational challenges while ensuring data integrity, audit-readiness, and compliance along the way, Pussinen says. “The industry is really doing fantastic science—some of it in new and exciting areas such as gene therapy. So, in the process, we’re managing really highly complex manufacturing-related systems, vast amounts of data from multiple disparate systems,” she says. “Our offerings will allow these data to be aggregated and displayed on a single GxP-compliant platform using AI and predictive analytics.”

This effort is focused on the increasing complexity of the industry’s processes and the need to really understand those processes, Gubau adds. “We’re moving from very process-oriented results to really applying science and data and extracting the needed knowledge to understand processes and go faster to market,” he says.

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INTRODUCING! The Latest Trends for Life Sciences at PACK EXPO Southeast